Statistical learning with sparsity: the lasso and generalizations
Auteur :
Hastie, Trevor / Tibshirani, Robert / Wainwright, Martin
Éditeur :
Taylor & Francis Ltd
ISBN :
9780367738334
Date de publication :
18 déc. 2020
Dimensions :
23,4 x 15,6 cm
Poids :
640 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
In this age of big data, the number of features measured on a person or object can be large and might be larger than the number of observations. This book shows how the sparsity assumption allows us to tackle these problems and extract useful and reproducible patterns from big datasets. The authors cover the lasso for linear regression, generali